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How to Build a Robust Advanced Neural AI Agent with Stable Training, Adaptive Learning, and Intelligent Decision-Making?
11+ mon, 4+ week ago (997+ words) overflow. To stabilize training, we apply […] The post How to Build a Robust Advanced Neural AI Agent with...
Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing
10+ mon, 4+ day ago (331+ words) The research paper from Google ‘Nested Learning, The Illusion of Deep Learning Architectures’ models a complex neural network as a set of coherent optimization problems, nested or running in parallel, that are optimized together. Each internal problem has its own…...
PokeeResearch-7B: An Open 7B Deep-Research Agent Trained with Reinforcement Learning from AI Feedback (RLAIF) and a Robust Reasoning Scaffold
10+ mon, 3+ week ago (574+ words) calls external tools for web search and […] The post PokeeResearch-7B: An Open 7B Deep-Research Agent...
Build a Reinforcement Learning Powered Agent that Learns to Retrieve Relevant Long-Term Memories for Accurate LLM Question Answering
4+ mon, 2+ week ago (271+ words) We construct a synthetic long-term memory bank that simulates stored knowledge across multiple domains. We generate structured memory items and convert them into textual memories that can later be embedded for semantic retrieval. We also create query datasets from these…...
Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends
10+ mon, 4+ week ago (609+ words) graph tracing, all designed to make deep […] The post Ivy Framework Agnostic Machine Learning Build, Transpile,...
How We Learn Step-Level Rewards from Preferences to Solve Sparse-Reward Environments Using Online Process Reward Learning
9+ mon, 1+ week ago (987+ words) observing how the agent gradually improves […] The post How We Learn Step-Level Rewards from Preferences...
NVIDIA Researchers Propose Reinforcement Learning Pretraining (RLP): Reinforcement as a Pretraining Objective for Building Reasoning During Pretraining
10+ mon, 4+ week ago (524+ words) the information gain it provides on the […] The post NVIDIA Researchers Propose Reinforcement Learning...
Google AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
4+ mon, 4+ week ago (840+ words) durable skills — collaboration, creativity, […] The post Google AI Research Proposes Vantage: An LLM-Based...
Google AI Proposes ReasoningBank: A Strategy-Level I Agent Memory Framework that Makes LLM Agents Self-Evolve at Test Time
11+ mon, 1+ week ago (838+ words) loop repeats so the agent self-evolves. […] The post Google AI Proposes ReasoningBank: A Strategy-Level...
Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems
11+ mon, 3+ week ago (432+ words) demonstrate evaluation metrics, explain […] The post Building a Hybrid Rule-Based and Machine Learning...